agents-flex

agents-flex

Agents-Flex is a Java-native, lightweight high-performance AI agent framework that unifies large models, image generation, TTS/STT, video generation, tool calling, RAG and agent orchestration to help teams build deployable multimodal AI applications.

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#446 in AI Agents (446 tools)
Added 1 month ago
Data reviewed Jul 16, 2026

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

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agents-flex

Agents-Flex 是一款面向 Java 开发者的轻量级、高性能 AI Agent 框架。它将大模型、图片生成、语音(TTS/STT)、视频生成、Tool Calling、RAG 与 Agent 编排等多模态能力通过统一的 Java 接口进行抽象与接入,目标是帮助团队更快构建可上线的多模态 AI 应用。框架提供从模型接入、工具与知识接入到多 Agent 协作、数据分析与生产可观测的一整套工程化栈,支持国产模型、云服务与私有化部署。

Java-based LLM application framework similar to LangChain.

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Key Features

统一模型抽象

通过 ChatModel、ImageModel、VideoModel、EmbeddingModel、RerankModel 以及语音模型接口,统一接入不同厂商与私有化模型服务。

多模态生成

支持文本、图片(文生图、图生图、图片编辑)、语音 TTS(同步与流式)、STT 语音转写与视频生成,使用统一接口屏蔽不同服务商差异。

Agent 与工具编排

从 Java 方法到 MCP 工具、Skills、Subagent,支持 ToolScanner/Tool.Builder、MCP Client、ReAct、Routing 与 Subagent 等编排能力,让 Agent 调用业务能力并拆解任务。

知识与 RAG 支持

覆盖文档处理、Embedding、向量存储、检索、重排与 LLM Wiki(Loader / Parser / Splitter、Vector Store / SearchWrapper、LLM Wiki),支持扁平语义检索与层级知识导航。

生产级保障

提供高可用路由、重试熔断、调用链追踪与指标采集,集成 OpenTelemetry,并提供 Spring Boot 自动配置以便上线运行。

模型路由与流式响应

支持 HTTP / SSE / WebSocket 的同步与流式响应,并提供模型路由与标签选择能力以适配复杂部署场景。

生态与适配

适配中国生态与多家云与模型服务(页面列举 OpenAI / Stability / Gitee AI、阿里云 / 腾讯云 / 火山引擎 等实现示例)。

示例与快速上手

提供多模态示例代码(ChatModel、Image/TTS/STT/Video 的核心调用示例)和快速开始指南,支持通过 Maven 依赖引入。

Pricing

Free Tier Available

Open-source: Released under the Apache License

Use Cases

智能客服与聊天助手

构建基于大模型的客服与聊天机器人,结合 RAG 接入企业知识库以提供准确回复。

企业知识库与 RAG 问答

使用文档处理、Embedding、向量检索与 LLM Wiki 实现层级文档导航与问答能力。

语音助手与音频转写

集成 TTS/STT 实现实时语音交互、转写与音频生成,支持流式播放与低延迟体验。

营销素材与创意图片/视频生成

通过 ImageModel 与 VideoModel 统一生成图片与短视频,用于自动化素材生产与创意生成。

MCP 工具连接与自动化

将 Java 业务方法暴露为 Agent 可调用的工具,连接 MCP 工具以实现自动化任务执行与工作流编排。

多模型网关与高可用路由

作为多模型网关,提供路由、重试与熔断等生产级能力,保证多模型接入下的高可用性。

Integrations

OpenAI / Stability / Gitee AI

示例中列举的图片与聊天模型提供者,框架可通过 ImageModel/ChatModel 等接口接入这些服务。

阿里云 / 腾讯云 / 火山引擎

示例中用于 TTS/STT 和视频生成的云服务适配实现,页面列举这些实现示例。

Spring Boot

提供 Spring Boot 自动配置与 Starter,便于在 Spring 应用中集成并上生产。

OpenTelemetry

用于调用链追踪与可观测性集成,支持生产监控。

Benefits

为 Java 团队提供统一且工程化的多模态 AI 开发栈,减少从 PoC 到生产的摩擦。
通过统一接口屏蔽不同服务商差异,便于在多家模型/云服务间替换与适配(包括私有化部署)。
内置生产级功能(负载均衡、重试、熔断、调用链追踪、指标采集),提升上线稳定性与可观测性。

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: 接入模型 — 按场景配置 ChatModel、ImageModel、TextToSpeechModel 或 VideoModel(示例使用 OpenAI/Gitee/阿里云 配置)。
  2. 2 Step 2: 暴露工具 — 用注解或 Builder 将 Java 业务方法变成 Agent 可调用的 Tool/MCP 技能。
  3. 3 Step 3: 接入知识 — 组合 RAG、WebSearch、LLM Wiki 为回答提供外部上下文和文档支持。
  4. 4 Step 4: 编排 Agent — 使用 ReAct、Routing、Subagent 处理多步骤与多角色任务。
  5. 5 Step 5: 上线观测 — 接入路由、重试、熔断与 OpenTelemetry,使用 Spring Boot Starter 部署运行。

Support

docs

官网提供帮助文档与快速开始示例(页面导航包含“帮助文档”与“ChangeLog”)。

code repo

页面导航列出 Gitee,用于代码托管与贡献(Gitee 入口在站点导航)。

API

Available: Yes
Documentation:

官网帮助文档与多模态示例代码(页面包含快速开始、图片/TTS/STT/视频示例及配置示例)。

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